一种基于数据融合的组合式温度传感器

A Combined Temperature Sensor Based on Data Fusion

提出一种基于数据融合的组合式温度传感器。将在线性及稳定性方面具有良好性能的铂电阻温度传感器与反应速度快、灵敏度高的热敏电阻温度传感器进行物理组合,使用联邦卡尔曼滤波算法对2种温度传感器的测量数据进行实时数据融合,设计一种兼具铂电阻传感器和热敏电阻传感器优点的组合式温度传感器。实验结果表明,这种基于数据融合的组合式温度传感器,提高了测量系统的准确性和动态响应特性。

In this paper , we present a combined temperature sensor based on data fusion .We test the combination of the lineari-ty, stability of the platinum resistance and the sensitivity , dynamic performance of the thermistor , and apply the federated Kalman algorithm to fuse their data realtinely .Our results show that this combined sensor is more excellent than both .The results suggest that this combined temperature sensor could improve the accuracy and dynamic response of the measurement system .